We describe a humanoid robot platform—the iCub—which was designed to support
collaborative research in cognitive development through autonomous exploration and social …

Robotics researchers increasingly agree that ideas from biology and self-organization can
strongly benefit the design of autonomous robots. Biological organisms have evolved to …

In this work, we present WALK‐MAN, a humanoid platform that has been developed to
operate in realistic unstructured environment, and demonstrate new skills including powerful …

In robotics, the ultimate goal of reinforcement learning is to endow robots with the ability to
learn, improve, adapt and reproduce tasks with dynamically changing constraints based on …

We presented and evaluated an approach based on HMM, GMR, and dynamical systems to
allow robots to acquire new skills by imitation. Using HMM allowed us to get rid of the explicit …

We report about the iCub, a humanoid robot for research in embodied cognition. At 104 cm
tall, the iCub has the size of a three and half year old child. It will be able to crawl on all fours …

Most policy search (PS) algorithms require thousands of training episodes to find an
effective policy, which is often infeasible with a physical robot. This survey article focuses on …

This paper presents the development of a new compact soft actuation unit intended to be
used in multi degree of freedom and small scale robotic systems such as the child humanoid …

This paper presents a three-dimensional (3-D) force sensor based on fiber Bragg grating
(FBG) for robot plantar force measuring. A classical Maltese-cross beam with multiplexed …

We have developed a flexible-substrate-based three-axial force sensor, composed of finger-
shaped electrode capacitors, whose operation is based on the measurement of a …